Nina Ekström

46 total papers · 858 total citations
24 papers, 506 citations indexed

About

Nina Ekström is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Nina Ekström has authored 24 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Microbiology and 9 papers in Infectious Diseases. Recurrent topics in Nina Ekström's work include Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (12 papers) and Respiratory viral infections research (11 papers). Nina Ekström is often cited by papers focused on Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (12 papers) and Respiratory viral infections research (11 papers). Nina Ekström collaborates with scholars based in Finland, Brazil and United States. Nina Ekström's co-authors include Helena Käyhty, Arto A. Palmu, Merja Väkeväinen, Birgit Simell, Terhi Kilpi, Antti Reunanen, Arja Vuorela, Seppo Meri, Merit Melin and Hanna Nohynek and has published in prestigious journals such as Diabetes Care, The Journal of Infectious Diseases and Infection and Immunity.

In The Last Decade

Nina Ekström

23 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Ekström 279 138 131 127 43 24 506
Yoshihiro Matsuzono 418 1.5× 228 1.7× 72 0.5× 307 2.4× 31 0.7× 16 585
Ana Gervassi 148 0.5× 95 0.7× 279 2.1× 58 0.5× 52 1.2× 19 496
Hideki Akeda 205 0.7× 142 1.0× 267 2.0× 94 0.7× 58 1.3× 20 611
Claude Fortin 192 0.7× 115 0.8× 94 0.7× 230 1.8× 46 1.1× 30 507
Åsa Hidmark 87 0.3× 39 0.3× 266 2.0× 239 1.9× 106 2.5× 23 604
Devra Huey 215 0.8× 33 0.2× 103 0.8× 316 2.5× 88 2.0× 18 580
Frank Kowalzik 235 0.8× 154 1.1× 61 0.5× 163 1.3× 99 2.3× 22 492
Oliver Koch 100 0.4× 49 0.4× 122 0.9× 54 0.4× 54 1.3× 43 484
Nathaniel D. Lambert 367 1.3× 24 0.2× 194 1.5× 200 1.6× 144 3.3× 15 617
Monique Landry 324 1.2× 83 0.6× 82 0.6× 140 1.1× 23 0.5× 35 528

Countries citing papers authored by Nina Ekström

Since Specialization
Citations

This map shows the geographic impact of Nina Ekström's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nina Ekström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Ekström more than expected).

Fields of papers citing papers by Nina Ekström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Ekström. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nina Ekström. The network helps show where Nina Ekström may publish in the future.

Co-authorship network of co-authors of Nina Ekström

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Ekström. A scholar is included among the top collaborators of Nina Ekström based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Ekström. Nina Ekström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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